Research on Intelligent Inventory Management System Based on Automation and Real-Time Data Processing

With the expansion of enterprise scale and business complexity, traditional manual recording and manual management methods can no longer meet the needs of modern enterprises for accurate inventory control. This paper studies and designs an intelligent inventory management system, which aims to improve the efficiency and accuracy of inventory management, reduce errors, optimize costs, and enhance the competitiveness of enterprises through automation and digitalization. The system adopts modern technical frameworks such as Spring Boot and Vue, combined with UML diagram for system design, realizes the core functions such as warehousing, warehousing, inventory management and report data analysis, and considers non-functional requirements such as ease of use, scalability, security, etc., to ensure the efficient operation of the system and the convenience of operation.